Summary:The present dataset is related to our study that follows Mazzoni et al. (2013) ideas theorizing a minimal hypnotic state design consisting of contrasting the 'normal' alert state versus 'neutral' hypnosis our data can help to reveal connectivity differences in a) some resting state brain networks like SaN, DMN, and DAN to exhibit dissociation states, b) SMN to correlate sensorimotor self-reports with brain activity, and c) CEN to demonstrate the hypothesized frontal inhibition. The dataset present 5 females and 5 males adults, all signed an informed consent form in agreement with the protocol approved by the Bioethics Committee of the Neurobiology Institute of UNAM that are evaluated using the Stanford hypnotic suggestibility scale. A high resolution SPGR 3D, T1w structural image, and two 6 minute rs-fMRI EPI sequences, one in control alert state and the other in static hypnotic state were acquired.

This dataset includes:

Creative Commons License: Attribution - Non-Commercial


We thank the Programa de Doctorado en Ciencias Biomédicas of the Universidad Nacional Autónoma de México (UNAM) for the doctoral fellowship no. 559395 (PGV) supported by the National Council of Science and Technology, Mexico (Consejo Nacional de Ciencia y Tecnología, CONACYT); the PASPA program at DGAPA-UNAM for the sabbatical fellowship (FAB), and CONACyT for the funding received via grant CB167271. We are also grateful to M.Sc. Leopoldo González-Santos and Dr. Erick H. Pasaye for technical support.



Data Release Download

Data for the UNAM Hynosis Release are available for download in an Amazon Web Services S3 bucket.

Each file in the S3 bucket can only be accessed using HTTP (i.e., no ftp or scp ). You can obtain a URL for each desired file and then download it using an HTTP client such as a web browser, wget, or curl. Each file can only be accessed using its literal name- wildcards will not work.

There are file transfer programs that can handle S3 natively and will allow you to navigate through the data using a file browser. Cyberduck is one such program that works with Windows and Mac OS X. Cyberduck also has a command line version that works with Windows, Mac OS X, and Linux. Instructions for using Cyberduck are as follows: